iPhone 16 Pro Max
Geekbench AI Score
4358
Single Precision Score
7435
Half Precision Score
5905
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 05:22 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
3449
641.4 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3135
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8446
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
16787
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14034
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
97% |
3601
286.7 IPS |
|
|
Object Detection (Q)
|
94% |
2548
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6683
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3812
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7519
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12924
99.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8999
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20274
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34317
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27836
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6096
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6077
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7054
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7010
121.1 IPS |
